T. Fukuda

Toho University, Edo, Tōkyō, Japan

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Publications (917)516.34 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: Hypernuclear production cross sections have been deduced for the first time with induced reaction of heavy ion beam on fixed target and by means of the invariant mass method by the HypHI Collaboration exploiting the reaction of 6Li + 12C at or . A production cross section of for 3ΛH and of for 4ΛH respectively in the projectile rapidity region was inferred as well as the total production cross section of the Λ hyperon was measured and found to be equal to . A global fit based on a Bayesian approach was performed in order to include and propagate statistical and systematic uncertainties. Production ratios of 3ΛH/4ΛH, 3ΛH/Λ and 4ΛH/Λ were included in the inference procedure. The strangeness population factors S3 and S4 of 3ΛH and 4ΛH respectively were extracted. In addition, the multiplicities of the Λ hyperon, 3ΛH, and 4ΛH together with the rapidity and transversal momentum density distributions of the observed hypernuclei were extracted and reported.
  • R. Simura · K. Sugiyama · A. Nakatsuka · T. Fukuda
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    ABSTRACT: High-temperature powder X-ray diffraction measurements for ScAlMgO4 (R3¯m in space group) grown by Czochralski method were carried out from 303 to 1473 K. The obtained temperature-dependent unit cell parameters were expressed as La = 0:32489(3) + 1:78(8) × 10-6(T - 273) + 6:2(6) × 10-10(T - 273)2 for the a-axis and Lc = 2:5138(2) + 2:52(5) × 10-5(T - 273) + 5:6(4) × 10-9(T - 273)2 for the c-axis, where T is temperature in kelvin. The axial thermal expansion coefficients for the a-axis estimated from the unit cell parameters were comparable to those of GaN and ZnO. A c-plane ScAlMgO4 substrate can be easily obtained with using cleavage plane along c-plane, which is parallel to a-axis. Thus, ScAlMgO4 is one of the promising substrates for c-plane epitaxial growth of GaN and ZnO. High temperature X-ray single crystal structural analysis of ScAlMgO4 demonstrated the mechanism of the nonlinear variation of the obtained cell parameters as a function of temperature.
    Japanese Journal of Applied Physics 07/2015; 54(7). DOI:10.7567/JJAP.54.075503 · 1.13 Impact Factor
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    ABSTRACT: Walking capability composed of stability and efficiency is one of the most important issues in the field of humanoid robots. An effective swing of the arms is expected to enhance the walking capability under the constraints from the limited body. We propose an arm-swing method to enhance the stability and efficiency by selecting optimal arm-swing strategy depending on the walking conditions. In this research, we select the optimal strategy between the support of the center of gravity (COG) tracking for stability and the walk without arm-swing for efficiency. To support the COG tracking, we employ a predictive control. States are defined as an inverted pendulum model and inputs are given as an inertial force of arm-swing. Input and output weights in the predictive control are adjustable by a support weight introduced in this paper. Selection of the optimal support weight by a selection algorithm for locomotion (Su-SAL) switches the two strategies by adjusting the ratio of input and output (I/O) weights. Su-SAL maximizes the efficiency while keeping the stability in comparison with the case of the constant support weight.
    Proceedings - IEEE International Conference on Robotics and Automation 06/2015; 2015:5698-5703. DOI:10.1109/ICRA.2015.7139997
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    ABSTRACT: We previously developed an automatic track scanning system which enables the detection of large-angle nuclear fragments in the nuclear emulsion films of the OPERA experiment. As a next step, we have investigated this system's track recognition capability for large-angle minimum ionizing particles $(1.0 \leq |tan \theta| \leq 3.5)$. This paper shows that, for such tracks, the system has a detection efficiency of 95$\%$ or higher and reports the achieved angular accuracy of the automatically recognized tracks. This technology is of general purpose and will likely contribute not only to various analyses in the OPERA experiment, but also to future experiments, e.g. on low-energy neutrino and hadron interactions, or to future research on cosmic rays using nuclear emulsions carried by balloons.
    Journal of Instrumentation 12/2014; 9(12). DOI:10.1088/1748-0221/9/12/P12017 · 1.40 Impact Factor
  • T. Fukuda · T. Kakeshita · M. Kitayama · T. Saburi
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    ABSTRACT: Effect of aging at 873K on the two-step transformation of a Ti-40.5Ni-10.0Cu alloy, which contain Ti slightly lower than 50at%, was studied. It was found that the start temperature of the B2-B19 transformation and that of the B19-B19' transformation increase with increasing aging time. The start temperatures of the reverse transformations also increase. The temperature range of the two-step transformation decrease with increasing aging time. The change of transformation behavior is caused by phase decomposition of B2 phase through aging. The aged Ti-40.5Ni-10.0Cu alloy is composed of the B2 phase and the G(11)b phase.
    Journal de Physique IV (Proceedings) 12/2014; 05(C8):C8-717-C8-722. DOI:10.1051/jp4/199558717 · 0.35 Impact Factor
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    ABSTRACT: Variant selection of L10-type ferromagnetic alloys has been numerically investigated using the phase-field modeling, to clarify the phenomena at greater temporal and spatial resolution and to reveal the underlying mechanism. The duration for which the external magnetic field is effective is found to be very short, and variant selection is significantly affected by not only direct response to the external magnetic field but also their interplay between the field, intrinsic transformation strain, and various thermodynamic energy components involved in the course of microstructure evolution. The detailed mechanism of the interplay was quantitatively analyzed in terms of the driving force for the variant selection, by partitioning it into the various energy components. Careful examination of the variant selection at the very early stage revealed that the slight difference in size and configuration of variants during disorder-to-order transition realized by the interplay between transformation strain and external field is essentially needed before proceeding to the latter stage of the variant selection driven by interface energy.
    Journal of Applied Physics 02/2014; 115(7):073501-073501-10. DOI:10.1063/1.4865745 · 2.18 Impact Factor
  • Donai K · Inagaki A · So HK · Kuroda K · Sone H · Kobayashi M · Nishimori K · Fukuda T
    Cytotechnology 12/2013; in press. · 1.75 Impact Factor
  • In Vitro Cellular & Developmental Biology - Animal 11/2013; in press. · 1.15 Impact Factor
  • F. Xiao · T. Fukuda · T. Kakeshita · K. Takahashi
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    ABSTRACT: An Fe–Pd alloy exhibits a weakly first order FCC–FCT martensitic transformation. In the present study, we have examined the composition dependence of its transformation temperature by magnetic susceptibility, DSC and X-ray measurements. The susceptibility measured in the cooling process exhibits a sudden decrease in alloys with Pd content of 33.0 at.% and less, which is attributed to the FCC–FCT martensitic transformation. However, the transformation is suppressed in alloys with Pd content of 33.1 at.% and more. The latent heat of the FCC–FCT transformation is about 70 J mol−1 for an Fe–30.0 at.%Pd alloy, and it decreases with increasing Pd content.
    Journal of Alloys and Compounds 11/2013; 577:S323-S326. DOI:10.1016/j.jallcom.2012.02.011 · 3.00 Impact Factor
  • Y. Feng · T. Fukuda · T. Kakeshita
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    ABSTRACT: Time dependence of the first order magnetostructural transition in Pd doped B2-type FeRh (Fe0.45Rh0.45Pd0.1 alloy) has been investigated. This alloy exhibits a first order ferro–antiferro magnetostructural transition at 170 K in the cooling process under a low magnetic field (0.1 T). The transition also proceeds by holding at temperatures near 170 K. In addition, we also found that the transition temperature decreases with increasing magnetic field, and the transition is suppressed under a magnetic field of 5 T or higher. Removal of the magnetic field at 4.2 K induces the magnetostructural transition, but a part of the ferromagnetic phase remains at 4.2 K. In the subsequent heating process, the remaining ferromagnetic phase (high temperature phase) transforms to the antiferromagnetic phase (low temperature phase). Such an abnormal transition implies that the first order magnetostructural transition in Fe0.45Rh0.45Pd0.1 alloy is caused by a thermal activation process.
    Journal of Alloys and Compounds 11/2013; 577:S52-S55. DOI:10.1016/j.jallcom.2012.02.017 · 3.00 Impact Factor
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    ABSTRACT: We have carried out an experiment to search for a neutron-rich hypernucleus, $^6_{\Lambda}$H, by the $^6$Li($\pi^-,K^+$) reaction at $p_{\pi^-}$ =1.2 GeV/$c$. The obtained missing mass spectrum with an estimated energy resolution of 3.2 MeV (FWHM) showed no peak structure corresponding to the $^6_{\Lambda}$H hypernucleus neither below nor above the $^4_{\Lambda}$H$+2n$ particle decay threshold. An upper limit of the production cross section for the bound $^6_{\Lambda}$H hypernucleus was estimated to be 1.2 nb/sr at 90% confidence level.
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    ABSTRACT: A novel experiment, aiming at demonstrating the feasibility of hypernuclear spectroscopy with heavy-ion beams, was conducted. Using the invariant mass method, the spectroscopy of hypernuclear products of 6Li projectiles on a carbon target at 2 AGeV was performed. Signals of the \Lambda-hyperon and 3\Lambda H and 4\Lambda H hypernuclei were observed for final states of p+\pi^-, 3He+\pi^- and 4He+\pi^-, respectively, with significance values of 6.7, 4.7 and 4.9\sigma. By analyzing the proper decay time from secondary vertex distribution with the unbinned maximum likelihood fitting method, their lifetime values were deduced to be $262 ^{+56}_{-43} \pm 45$ ps for \Lambda, $183 ^{+42}_{-32} \pm 37$ ps for 3\Lambda H, and $140 ^{+48}_{-33}\pm 35 $ ps for 4\Lambda H.
    Nuclear Physics A 05/2013; 913. DOI:10.1016/j.nuclphysa.2013.05.019 · 2.20 Impact Factor
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    ABSTRACT: Heusler ferromagnetic shape memory alloys in the martensitic state demonstrate extraordinary actuation ability in a magnetic field. Whereas many stress-strain studies in compression mode have shown that they also exhibit an excellent superelasticity, the mechanical behavior of these alloys in tensile experiments has been rarely addressed due to the enhanced brittleness of the austenite. In this work, we present the original results of the tensile tests carried out using <001>A -oriented Ni-Mn-Ga (S1) and Ni(Co)-Fe-Ga (S2) single crystals with transformation temperatures of about 300 K and 220 K, respectively. The measurements were performed with a DMA Q800 analyzer which allowed recording, in the same sample, the temperature dependence of the elastic modulus and internal friction in the dynamic tensile mode, as well as the “stress versus strain” curves at different constant temperatures, Texp, and “strain versus temperature” curves at zero stress in the static tensile mode. The temperature dependence of the elastic modulus demonstrates both a deep softening in the cubic phase and typical anomalies at the martensitic and intermartensitic transformations. Particularly, multistep superelastic strains of about 10% and superelastic strains of 7% have been obtained in the alloys S1 and S2, respectively. The quasi-equilibrium stress – temperature phase diagrams of L21-5M, 5M-7M and 7M – 2M phase transitions in the alloy S1, and L21 – 2M in alloy S2 are in agreement with thermodynamic estimations and the deductions of ab initio calculations. These results are compared with those obtained previously in the compression mode.
    SMST 2013/ The International Conference on Shape Memory and Superelastic Technologies American Society for Metals; 05/2013
  • Y. Feng · T. Fukuda · T. Kakeshita
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    ABSTRACT: Some shape memory alloys exhibit so-called temperature memory effect (TME) associated with their thermoelastic martensitic transformations. In this paper, we report that the same TME also appears in association with a first order magnetic transition between an antiferromagnetic phase and a ferromagnetic phase in FeRh. Although the TME in shape memory alloys appears only in the heating process, the TME in FeRh appears both in the cooling and heating processes. Presumably, the arrangement of antiferromagnetic domains and ferromagnetic domains is responsible for the TME in FeRh.
    Intermetallics 05/2013; 36:57–60. DOI:10.1016/j.intermet.2012.12.021 · 2.13 Impact Factor
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    ABSTRACT: Nuclear emulsion, a tracking detector with sub-micron position resolution, has played a successful role in the field of particle physics and the analysis speed has been substantially improved by the development of automated scanning systems. This paper describes a newly developed automated scanning system and its application to the analysis of nuclear fragments emitted almost isotropically in nuclear evaporation. This system is able to recognize tracks of nuclear fragments up to |tan{\theta}|< 3.0 (where {\theta} is the track angle with respect to the perpendicular to the emulsion film), while existing systems have an angular acceptance limited to |tan{\theta}|< 0.6. The automatic scanning for such a large angle track in nuclear emulsion is the first trial. Furthermore the track recognition algorithm is performed by a powerful Graphics Processing Unit (GPU) for the first time. This GPU has a sufficient computing power to process large area scanning data with a wide angular acceptance and enough flexibility to allow the tuning of the recognition algorithm. This new system will in particular be applied in the framework of the OPERA experiment : the background in the sample of tau decay candidates due to hadronic interactions will be reduced by a better detection of the emitted nuclear fragments.
    Journal of Instrumentation 01/2013; 8(01). DOI:10.1088/1748-0221/8/01/P01023 · 1.40 Impact Factor
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    ABSTRACT: We proposed a 3D assembly technique of small-diameter blood vessels using a PLCL (poly (L-lactide-co-ε-caprolactone)) scaffold. The technique uses a residual stress of PLCL scaffolds to fabricate a multilayer structured tubular tissue, and gives a tissue mechanical property which blood vessels originally have. In the future, we try to test the circulatory culture system in order to investigate whether the tissue-engineered structure maintains the equivalent mechanical property as the human blood vessel. In this work, we demonstrated that fabricated tissues could attach on the inside of tubular PLCL scaffold in the appropriate conditions.
    Micro-NanoMechatronics and Human Science (MHS), 2013 International Symposium on; 01/2013
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    ABSTRACT: This paper shows improvement of stability and efficiency for mobility using locomotion selection strategy. First strategy is the selection of a gait relying on locomotion rewards. The locomotion reward has been proposed as an indicator for selection algorithm based on Falling Risk and the moving speed. This strategy has achieved a capability of large changes of uncertainties, such as a steep slope. Second strategy is adjustment of moving speed by the extended locomotion reward that explicitly shows the relationship between the moving speed and Falling Risk. The robot aims at the maximum moving speed without a falling, and removes small changes of uncertainties as a result. We performed an experiment in order to confirm effects of two strategies in an environment that includes a rough terrain as a small uncertainty and two steps as a large uncertainty. The robot improved the moving speed about 37.5% from the case of only using the gait selection strategy.
    Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on; 01/2013
  • T. Matsuno · Jian Huang · T. Fukuda
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    ABSTRACT: Fault detection functions with learning method of a robotic manipulator are very useful for factory automation. All production has the possibility to fail due to unexpected accidents. To reduce the fatigue of human workers, small errors automatically should be corrected by a robot system. Also a learning method is important for fault detection, because labor of system integrator should be reduced. In this paper, an external thread fastening task by a robotic manipulator is investigated. To discriminate the four states of a task, linear support vector machine methods with two feature parameters are introduced. The effectiveness of the proposed algorithm is confirmed through an experiment and recognition examination. Finally, the ability of linear SVM is compared with artificial neural network method.
    Robotics and Automation (ICRA), 2013 IEEE International Conference on; 01/2013
  • S. Nakagawa · D. Pei · Jian Huang · K. Sekiyama · T. Fukuda
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    ABSTRACT: Intelligent cane is a robot developed for assisting the elderly or handicapped people in walking. As a nursing-care device, the cane robot is designed to assist the elderly or handicapped people not only in indoor environments but also in outdoor environments. Therefore the cane robot is required to be smaller and lighter. In addition, it is preferred that the cane robot is movable in omni-directions so that it can be used in various situations. A concept called “intentional direction (ITD)” was proposed to estimate the user's walking intention by analyzing signals from a 6-axis force/torque sensor fixed to the handle of the aluminum stick. Admittance control method was applied to the motion control of the cane robot. In this paper, a new algorithm based on the usage and purpose of an ordinary cane is proposed. In the proposed algorithm, the cane robot is appropriately stopped to support the elderly more effectively. The effectiveness of the proposed method is verified through the experiments.
    RO-MAN, 2013 IEEE; 01/2013

Publication Stats

9k Citations
516.34 Total Impact Points


  • 2012–2014
    • Toho University
      • Department of Physics
      Edo, Tōkyō, Japan
  • 1987–2014
    • Osaka University
      • • Division of Materials and Manufacturing Science
      • • Department of Materials Engineering Science
      • • Department of Physics
      Suika, Ōsaka, Japan
  • 2013
    • Meijo University
      Nagoya, Aichi, Japan
  • 2002–2013
    • Osaka Electro-Communication University
      Neyagawa, Ōsaka, Japan
    • Kinki University
      • Faculty of Biology-Oriented Science and Technology
      Ōsaka, Ōsaka, Japan
    • University of Bucharest
      Bucureşti, Bucureşti, Romania
    • Kobe University
      Kōbe, Hyōgo, Japan
  • 1988–2013
    • Tohoku University
      • • Graduate School of Agricultural Science
      • • Institute of Multidisciplinary Research for Advanced Materials (IMRAM)
      • • Institute for Materials Research
      • • Graduate School of Dentistry
      Sendai, Kagoshima-ken, Japan
  • 1989–2012
    • Nagoya University
      • • Department of Micro-Nano Systems Engineering
      • • Department of Mechanical Science and Engineering
      Nagoya, Aichi, Japan
  • 2009
    • Seoul National University
      • Department of Physics and Astronomy
      Seoul, Seoul, South Korea
  • 2008–2009
    • Huazhong University of Science and Technology
      • Department of Control Science and Engineering
      Wuhan, Hubei, China
    • Macquarie University
      • Centre for Lasers & Applications (CLA)
      Sydney, New South Wales, Australia
  • 2004–2008
    • University of Tsukuba
      • Intelligent System Technologies
      Tsukuba, Ibaraki, Japan
  • 2006–2007
    • Tanta University
      • Department of Mechanical Power Engineering
      Ṭanṭa, Al Gharbīyah, Egypt
  • 2005
    • Claude Bernard University Lyon 1
      • Unité physico-chimie des matériaux luminescents
      Villeurbanne, Rhône-Alpes, France
    • The Chinese University of Hong Kong
      Hong Kong, Hong Kong
  • 2001–2005
    • High Energy Accelerator Research Organization
      • Institute of Particle and Nuclear Studies
      Tsukuba, Ibaraki, Japan
    • Fujitsu Ltd.
      Kawasaki Si, Kanagawa, Japan
    • Kyoto University
      • Department of Physics II
      Kyoto, Kyoto-fu, Japan
    • Gifu University
      • Department of Electrical and Electronic Engineering
      Gihu, Gifu, Japan
  • 2003–2004
    • Oakland University
      • Department of Computer Science and Engineering
      Rochester, Michigan, United States
    • Samsung Advanced Institute of Technology
      Usan-ri, Gyeonggi Province, South Korea
  • 2001–2004
    • Saga University
      • Department of Advanced Systems Control Engineering
      Сага Япония, Saga, Japan
  • 1998–2004
    • Kagawa University
      • Department of Intelligent Mechanical Systems Engineering
      Takamatsu-shi, Kagawa-ken, Japan
    • Advance Institute of Science and Technology
      Dehra, Uttarakhand, India
  • 2001–2002
    • Fukui University
      Hukui, Fukui, Japan
  • 2000–2001
    • Michigan State University
      • Department of Electrical and Computer Engineering
      East Lansing, MI, United States
    • Xi'an Technological University
      Ch’ang-an, Shaanxi, China
    • Sankyo Kasei Co., Ltd.
      Ōsaka, Ōsaka, Japan
    • Shizuoka University
      • Department of Mechanical Engineering
      Shizuoka-shi, Shizuoka-ken, Japan
  • 1997–2000
    • Osaka Institute of Technology
      • Department of Mechanical Engineering
      Ōsaka, Ōsaka, Japan
  • 1999
    • Institute for Molecular Science
      Okazaki, Aichi, Japan
    • Tokyo Denki University
      • Division of Science
      Tokyo, Tokyo-to, Japan
    • National Cancer Center, Japan
      Edo, Tōkyō, Japan
    • Kanazawa University
      • Department of Earth Science
      Kanazawa, Ishikawa, Japan
  • 1997–1999
    • Shinryo Corporation
      Edo, Tōkyō, Japan
  • 1996–1997
    • Mie University
      • Department of Mechanical Engineering
      Tu, Mie, Japan
    • Fisheries Research Agency
      Yokohama, Kanagawa, Japan
    • National Technical University of Athens
      Athínai, Attica, Greece
  • 1988–1997
    • The University of Tokyo
      • • Department of Physics
      • • Department of Mechanical Engineering
      Edo, Tōkyō, Japan
  • 1995
    • Kisarazu National College of Technology
      Kizarazu, Chiba, Japan
    • The University of Electro-Communications
      Edo, Tōkyō, Japan
    • Omron Corporation
      Kioto, Kyōto, Japan
    • Sugiyama Jogakuen University
      Nagoya, Aichi, Japan
    • Universität Stuttgart
      • Institute of Theoretical Physics
      Stuttgart, Baden-Wuerttemberg, Germany
  • 1994
    • Kyushu University
      Hukuoka, Fukuoka, Japan
  • 1993
    • Mohawk Innovative Technology, Inc.
      Albany, New York, United States
  • 1992–1993
    • Kinjo Gakuin University
      Nagoya, Aichi, Japan
  • 1986–1990
    • Tokyo University of Science
      • Department of Mechanical Engineering (School of Engineering)
      Edo, Tōkyō, Japan